Results 181 to 190 of about 854,652 (308)

Nonlinear analysis of hollow reinforced high strength concrete beams with web openings and different types of stirrups under torsion. [PDF]

Sci Rep
Ebrahim FA, Askar HS, El-Zoughiby ME.
europepmc   +1 more source

Compressive Strength Evaluation of Ultra-High-Strength Concrete by Machine Learning. [PDF]

Materials (Basel), 2022
Shen Z, Deifalla AF, Kamiński P, Dyczko A.   +3 more
europepmc   +1 more source

Cell Segmentation Beyond 2D—A Review of the State‐of‐the‐Art

Advanced Intelligent Discovery, EarlyView.
Cell segmentation underpins many biological image analysis tasks, yet most deep learning methods remain limited to 2D despite the inherently 3D nature of cellular processes. This review surveys segmentation approaches beyond 2D, comparing 2.5D and fully 3D methods, analyzing 31 models and 32 volumetric datasets, and introducing a unified reference ...
Fabian Schmeisser, Haseeb Muhammad, Junaid Younas, Gillian Lovell, Bianca Migliori, Andreas Dengel, Sheraz Ahmed   +6 more
wiley   +1 more source

Optimization of mix proportions and hydration study of high-strength concrete incorporating corn stalk ash and silica fume as supplementary cementitious materials. [PDF]

Sci Rep
Wang R, Chen Y, Wei G, Wang Y, Xie X.
europepmc   +1 more source

Mechanical Property Analysis and Calculation Method Modification of Steel-Reinforced High-Strength Concrete Columns. [PDF]

Materials (Basel), 2022
Sun W, Li S.
europepmc   +1 more source

The Interoperability Challenge in DFT Workflows Across Implementations

Advanced Intelligent Discovery, EarlyView.
Interoperability and cross‐validation remain major challenges in the computational materials science. In this work, we introduce a common input/output standard that enables internal translation across multiple workflow managers—AiiDA, PerQueue, Pipeline Pilot, and SimStack—while producing results in a unified schema.
Simon K. Steensen, Tushar Singh Thakur, Manuel Dillenz, Johan M. Carlsson, Celso R. C. Rêgo, Eibar Flores, Hamidreza Hajiyani, Felix Hanke, Juan María García Lastra, Wolfgang Wenzel, Nicola Marzari, Tejs Vegge, Giovanni Pizzi, Ivano E. Castelli   +13 more
wiley   +1 more source

Machine learning approaches for forecasting compressive strength of high-strength concrete. [PDF]

Sci Rep
Shaaban M, Amin M, Selim S, Riad IM.
europepmc   +1 more source

Preparation of coal gangue ceramsite high-strength concrete and investigation of its physico-mechanical properties. [PDF]

Sci Rep, 2022
Guan H, Yu J, Umuhuza Kibugenza AS, Sun Q.   +3 more
europepmc   +1 more source

An Autonomous Large Language Model‐Agent Framework for Transparent and Local Time Series Forecasting

Advanced Intelligent Discovery, EarlyView.
Architecture of the proposed large language model (LLM)‐based agent framework for autonomous time series forecasting in thermal power generation systems. The framework operates through a vertical pipeline initiated by natural language queries from users, which are processed by the LLM Agent Core powered by Llama.cpp and a ReAct loop with persistent ...
William Gouvêa Buratto, Gabriel Villarrubia Gonzalez, Ademir Nied, Laio Oriel Seman, Anne Carolina Rodrigues Klaar, Stefano Frizzo Stefenon   +5 more
wiley   +1 more source

Modeling the mechanical properties of lightweight high-strength concrete incorporating supplementary cementitious materials using multi-expression programming and random forest. [PDF]

Sci Rep
Sheraz M, Abid M, Alam M, Javed MF, Alsharef M, Alluqmani AE, Jameel M, Ahmad F.   +7 more
europepmc   +1 more source